A Data-Based Model Predictive Decision Support System for Inventory Management in Hospitals

Fernández, M. Isabel; Chanfreut, Paula; Jurado, Isabel; Maestre, J. M.

doi:10.1109/jbhi.2020.3039692

Cited by 15 publications

(6 citation statements)

References 28 publications

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“…), the stocks of drugs and medicines need to be controlled cautiously to satisfy various demands from patients. Moreover, considering the high purchase and stocking costs of many drugs and medicines (e.g., the need to be kept in refrigerated storage rooms) and the shortage of staff working in pharmacies, the pharmacy inventory must match the corresponding demands to avoid the expiration and unnecessary immobilization of medical resources [48]. In this study, to optimize the drug and medicine supplies and consequently improve the pharmaceutical services that are delivered to patients for the inpatient departments in hospitals, a demand forecasting procedure integrated with patient-centric FM thinking is proposed to reduce the risk of excess stock and drug shortage, which endanger hospital profitability and the patient experience.…”

Section: Patient-centric Pharmaceutical Servicesmentioning

confidence: 99%

Facilitating Patient-Centric Thinking in Hospital Facility Management: A Case of Pharmaceutical Inventory

et al. 2022

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Conventional hospital facility management (FM) focuses on reasonably allocating various resources to support core healthcare services from the perspectives of the FM department and hospital. However, since patients are the main service targets of hospitals, the patients’ demographic and hospitalization information can be integrated to support the patient-centric facility management, aiming at a higher level of patient satisfaction with respect to the hospital environment and services. Taking the pharmaceutical services in hospital inpatient departments as the case, forecasting the pharmaceutical demands based on the admitted patients’ information contributes to not only better logistics management and cost containment, but also to securing the medical requirements of individual patients. In patient-centric facility management, the pharmacy inventory is regarded as the combination of medical resources that are reserved and allocated to each admitted patient. Two forecasting models are trained to predict the inpatients’ total medical requirement at the beginning of the hospitalization and rectify the patients’ length of stay after early treatment. Specifically, once a patient is admitted to the hospital, certain amounts of medical resources are reserved, according to the inpatient’s gender, age, diagnosis, and their preliminary expected days in the hospital. The allocated inventory is updated after the early treatment by rectifying the inpatient’s estimated length of stay. The proposed procedure is validated using medical data from eighteen hospitals in a Chinese city. This study facilitates the integration of patient-related information with the conventional FM processes and demonstrates the potential improvement in patients’ satisfaction with better hospital logistics and pharmaceutical services.

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Section: Patient-centric Pharmaceutical Servicesmentioning

confidence: 99%

Facilitating Patient-Centric Thinking in Hospital Facility Management: A Case of Pharmaceutical Inventory

et al. 2022

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“…Figura 7: Estructura del método implementado en (Fernández García et al, 2021) para la gestión de inventario en farmacias hospitalarias. El sistema consta de cuatro elementos principales que interactúan entre si: 1) el personal farmacéutico responsable de la gestión de inventario; 2) los proveedores de medicamentos; 3) el almacén de la farmacia, con los correspondientes niveles de stock para cada medicamento; y 4) el sistema informatizado de apoyo a la decisión, que suministra los resultados mencionados en la Sección 3.3.2.…”

Section: Operador En Sinergia Con El Controladorunclassified

“…N úmero de días Las Tablas 1 y 2 muestran resultados experimentales presentados en (Fernández García et al, 2021). En particular, el experimento se realizó considerando un conjunto de 11 medicamentos suministrados por un mismo laboratorio.…”

Section: Operador En Sinergia Con El Controladorunclassified

Control predictivo de sistemas ciberfísicos

Maestre

Chanfreut

Martín

et al. 2021

Rev. iberoam. autom. inform. ind.

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El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio dado. Esta metodología tiene entre sus retos actuales la adaptación al paradigma de los llamados sistemas ciberfísicos, que están compuestos por computadoras, sensores, actuadores y entidades físicas de diversa índole entre las que se incluyen robots e incluso seres humanos que intercambian información con el objetivo de controlar procesos físicos. Este tutorial presenta los conceptos centrales de la integración del control predictivo en este tipo de sistemas mediante el repaso a una serie de ejemplos que explotan la versatilidad de este marco de diseño de controladores para resolver los desafíos que presentan las aplicaciones del siglo XXI.

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“…Despite the fact that there are many challenges to overcome, this is happening. A growing number of monitoring devices with one or more sensors that are connected to the IoT are available [ [1] , [2] , [3] , [4] , [5] , [6] , [7] ]. These innovations offer a workable remedy for long-term health monitoring and assist in addressing the shortage of medical specialists.…”

Section: Introductionmentioning

confidence: 99%

DLSDHMS: Design of a deep learning-based analysis model for secure and distributed hospital management using context-aware sidechains

Reddy,

Debasis

2023

Heliyon

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A Data-Based Model Predictive Decision Support System for Inventory Management in Hospitals

Cited by 15 publications

References 28 publications

Facilitating Patient-Centric Thinking in Hospital Facility Management: A Case of Pharmaceutical Inventory

Facilitating Patient-Centric Thinking in Hospital Facility Management: A Case of Pharmaceutical Inventory

Control predictivo de sistemas ciberfísicos

DLSDHMS: Design of a deep learning-based analysis model for secure and distributed hospital management using context-aware sidechains

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